Dataset: In this video, we will learn about spam text message classification using NLP. Natural Language Processing (NLP) is the field of Artificial Intelligence, where we analyze text using machine learning models. Text Classification, Spam Filters, Voice text messaging, Sentiment analysis, Spell or grammar check, Chatbot, Search Suggestion, Search Autocorrect, Automatic Review, Analysis system, Machine translation are the applications of NLP. Tokenization is breaking the raw text into small chunks. Tokenization breaks the raw text into words, sentences called tokens. These tokens help in understanding the context or developing the model for the NLP. The tokenization helps in interpreting the meaning of the text by analyzing the sequence of the words. πŸ”Š Watch till last for a detailed description 03:33 What is NLP? 09:38 Natural Language generation 12:42 Installing packages 21:11 Bag of words 27:07 Get started with Code 32:05 Balance the data 37:16 Exploratory data analysis 49:08 Pipeline and random forest 58:41 Support vector machine πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡ βœοΈπŸ†πŸ…πŸŽπŸŽŠπŸŽ‰βœŒοΈπŸ‘Œβ­β­β­β­β­ ENROLL in My Highest Rated Udemy Courses to πŸ”‘ Unlock Data Science Interviews πŸ”Ž and Tests πŸ“š πŸ“— NLP: Natural Language Processing ML Model Deployment at AWS Build & Deploy ML NLP Models with Real-world use Cases. Multi-Label & Multi-Class Text Classification using BERT. Course Link: πŸ“Š πŸ“ˆ Data Visualization in Python Masterclass: Beginners to Pro Visualization in matplotlib, Seaborn, Plotly & Cufflinks, EDA on Boston Housing, Titanic, IPL, FIFA, Covid-19 Data. Course Link: πŸ“˜ πŸ“™ Natural Language Processing (NLP) in Python for Beginners NLP: Complete Text Processing with [More]